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Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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Public Member Functions | |
| "FitResultWithMaps" | from_cpp (cls, cpp_obj) |
| to_cpp (self) | |
Static Public Attributes | |
| bool | fit_ok = False |
| Dict | p_hat = field(default_factory=dict) |
| Dict | eta_hat = field(default_factory=dict) |
| Dict | p_hat_std = field(default_factory=dict) |
| Dict | p_correlations = field(default_factory=dict) |
| float | ell_hat = 0.0 |
Maximum-likelihood fit result keyed by Python parameter identifiers.
Attributes:
fit_ok: Whether the C++ fit result is considered usable.
p_hat: Best-fit values for fit parameters.
eta_hat: Profiled nuisance values at the best-fit point.
p_hat_std: Standard deviations for fit parameters, usually from the
profiled covariance.
p_correlations: Fit-parameter correlation matrix as nested maps.
ell_hat: Minimum negative log-likelihood value.
Definition at line 140 of file StatisticInterface.py.
| "FitResultWithMaps" StatisticInterface.FitResultWithMaps.from_cpp | ( | cls, | |
| cpp_obj | |||
| ) |
Create a Python fit result from the bound C++ result.
Definition at line 161 of file StatisticInterface.py.
| StatisticInterface.FitResultWithMaps.to_cpp | ( | self | ) |
Convert this result to the bound C++ representation.
Definition at line 172 of file StatisticInterface.py.
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Definition at line 158 of file StatisticInterface.py.
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Definition at line 155 of file StatisticInterface.py.
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Definition at line 153 of file StatisticInterface.py.
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Definition at line 157 of file StatisticInterface.py.
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Definition at line 154 of file StatisticInterface.py.
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Definition at line 156 of file StatisticInterface.py.